Web Reference: Specifically, we can compute the probability that a discrete random variable equals a specific value (probability mass function) and the probability that a random variable is less than or equal to a specific value (cumulative distribution function). The Kolmogorov–Smirnov test is based on cumulative distribution functions and can be used to test to see whether two empirical distributions are different or whether an empirical distribution is different from an ideal distribution. Denition: probability distribution or probability mass function (pmf) The probability distribution or probability mass function (pmf) of a discrete r.v. is dened for every number by
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